{"id":"W2891294947","doi":"10.1121/2.0000854","title":"Acoustical measurement, processing, reporting and terminology standards for underwater risk assessment","year":2017,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Underwater; Sound exposure; Metric (unit); Computer science; Consistency (knowledge bases); Environmental science; Acoustics; Sound (geography); Engineering; Geology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005393734,0.0002982414,0.0005080127,0.0001815302,0.001157569,0.0007005375,0.0005680545,0.0002063027,0.00005396928],"category_scores_gemma":[0.01105951,0.0002427041,0.00007145596,0.00006806201,0.0005712273,0.0003654075,0.0001130226,0.0004548886,0.000002421335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006108671,"about_ca_system_score_gemma":0.0003496122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001567401,"about_ca_topic_score_gemma":0.00003845525,"domain_scores_codex":[0.9961715,0.00001423037,0.0009684825,0.0006360653,0.001474979,0.0007347561],"domain_scores_gemma":[0.9943709,0.0001984309,0.002295108,0.0002144018,0.002679303,0.0002419048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00057505,0.0001769758,0.807058,0.002510613,0.0001606759,0.0000186045,0.0004536968,0.001651173,0.04915405,0.0001150288,0.003035994,0.1350901],"study_design_scores_gemma":[0.002330798,0.002152672,0.3469332,0.0007031843,0.0004616147,0.0000722603,0.0009841882,0.6206999,0.01180536,0.01165094,0.001376513,0.0008293297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8753543,0.0001208766,0.09388781,0.00103543,0.0003379039,0.001347265,0.0004952372,0.0001537857,0.02726742],"genre_scores_gemma":[0.945535,0.0001117014,0.05394831,0.00005939739,0.0001891647,0.00001102983,0.000007779151,0.00002192368,0.0001156904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6190488,"threshold_uncertainty_score":0.9972708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06575574113547587,"score_gpt":0.3414606621650795,"score_spread":0.2757049210296036,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}